Triple

T14860704
Position Surface form Disambiguated ID Type / Status
Subject Epsom estate in Surrey E349478 entity
Predicate locatedIn P40 FINISHED
Object Epsom E24540 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Epsom | Statement: [Epsom estate in Surrey, locatedIn, Epsom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Epsom
Context triple: [Epsom estate in Surrey, locatedIn, Epsom]
  • A. Epsom chosen
    Epsom is a market town in Surrey, England, best known for the Epsom Downs Racecourse and the famous Epsom Derby horse race.
  • B. Yate
    Yate is a town in South Gloucestershire, England, known as a residential and commercial centre north of Bristol.
  • C. Bursley
    Bursley is a fictional Staffordshire pottery town created by Arnold Bennett as one of his "Five Towns" and used as a principal setting in several of his novels.
  • D. Leamington Spa
    Leamington Spa is a historic spa town in Warwickshire, England, known for its Regency architecture, landscaped parks, and former popularity as a fashionable health resort.
  • E. Farnham
    Farnham is a historic market town in southern England known for its Georgian streets, medieval castle, and surrounding Surrey countryside.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded573cba881908d6d9ac570a64e5f completed April 15, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe650c41b081909cdadbaec472eee3 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:54 a.m.